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Researcher · Fergusson College · India

Kavita Khobragade

Kavita Khobragade publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Biometric Identification and Security, Face and Expression Recognition and Generative Adversarial Networks and Image Synthesis.

ORCID 0009-0002-5776-9147 OpenAlex
World rank
#5,870,454
of 7,710,434 ranked researchers
Rank in India
#179,621
of 280,097
Works
15
Citations
21
Citations per work
1.4
h-index
3
i10-index 1Top 97% in Computer Vision and Pattern Recognition
Kavita Khobragade

What does Kavita Khobragade research?

Kavita Khobragade's work is mostly in Computer Science (57%), Medicine (11%), Engineering (5%).

Physical Sciences: 9 works · 62.1% of their workComputer Science: 9 works · 56.7% of their workComputer Vision and Pattern Recognition: 5 works · 32.4% of their workSignal Processing: 2 works · 16.2% of their workArtificial Intelligence: 1 works · 8.1% of their workEngineering: 1 works · 5.4% of their workMedia Technology: 1 works · 5.4% of their workEverything else: 4 works · 27.1% of their workHealth Sciences: 2 works · 10.8% of their workMedicine: 2 works · 10.8% of their workPublic Health, Environmental and Occupational Health: 1 works · 5.4% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 5.4% of their workTHEIR WORKKavita Khobragade15works
Physical Sciences62%Health Sciences11%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science956.7%
    2. Engineering15.4%
  2. Everything else427.1%
    1. Medicine210.8%
  1. 1Computer Vision and Pattern Recognition32% of their works
  2. 2Signal Processing16% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Radiology, Nuclear Medicine and Imaging5% of their works
  5. 5Media Technology5% of their works
  6. 6Public Health, Environmental and Occupational Health5% of their works

Research topics

Which keywords describe Kavita Khobragade's research?

The keywords of their largest research topics: Feature Extraction, Security, Biometric Recognition, Deep Learning, Machine Learning, Privacy, Convolutional Neural Networks and Dimensionality Reduction.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Feature Extraction73 topics
  2. Security52 topics
  3. Biometric Recognition41 topic
  4. Deep Learning43 topics
  5. Machine Learning43 topics
  6. Privacy41 topic
  7. Convolutional Neural Networks32 topics
  8. Dimensionality Reduction31 topic
  9. Face Recognition31 topic
  10. Neural Networks32 topics
  11. Generative Adversarial Networks21 topic
  12. Image Synthesis21 topic
  13. Leukemia Classification21 topic
  14. Malaria Parasite Detection21 topic
  15. Acoustic Modeling11 topic
  16. Adversarial Examples11 topic
  17. Brain Tumor11 topic
  18. Deep Neural Networks11 topic
  19. MRI11 topic
  20. Ontology11 topic
  21. Robustness11 topic
  22. Semantic Web11 topic

Where does Kavita Khobragade work?

Kavita Khobragade's main affiliation in the publication record is Fergusson College, India.

How many publications and citations does Kavita Khobragade have?

OpenAlex counts 15 works and 21 citations for Kavita Khobragade, an h-index of 3, ranking #5,870,454 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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